Progress in Industrial Mathematics at ECMI 2023
Description
This volume gathers peer-reviewed contributions submitted to the 22nd ECMI Conference on Industrial and Applied Mathematics, ECMI 2023, held by the Wroclaw University of Science and Technology, Wroclaw, Poland, from June 26th to 30th, 2023. The works span a wide spectrum of applied mathematics, addressing challenges in finance, health and epidemiology, energy and industrial processes, as well as advanced computational and control systems.
The goal of the European Consortium for Mathematics in Industry (ECMI) conference series is to promote interaction between academia and industry, leading to innovations in both fields. These events have attracted leading experts from business, science, and academia, and have promoted the application of novel mathematical technologies to industry. They have also encouraged industrial sectors to share challenging problems where mathematicians can provide fresh insights and perspectives. Lastly, the ECMI conferences are one of the main forums in which significant advances in industrial mathematics are presented, bringing together prominent figures to promote the use of innovative mathematics in industry.
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Content
Chapter 1. Fast Computation of Function Composition Derivatives for Flatness-based Control of Diffusion Problems.- Chapter 2. Optimal Control of a Dengue Fever Model with Delay.- Chapter 3. A numerical study of the impact of variance boundary conditions for the Heston model.- Chapter 4. Nonlocal theory of elasticity in the natural vibrations of curved CNTs with defects.- Chapter 5. Solving multiscale problems with neural networks: The importance of asymptotic-preservation.- Chapter 6. Learning the solution operator of a nonlinear parabolic equation using physics informed deep operator network.- Chapter 7. Towards an asymptotic model of a blast furnace.- Chapter 8. Computational Strategies for Analyzing Collective Behavior in Human Crowds.- Chapter 9. Resource Conscious Fault Classifiers.- Chapter 10. Numerical Simulation of the Urban Heat Island in an Urban-Rural Domain with Variable Porosity.- Chapter 11. Impact of rounding bias on the convergence of gradient descent with unbiased approximation of gradients.- Chapter 12. Iterative solution techniques for chemical reaction equations.- Chapter 13. Some qualitative properties of a finite difference method.- Chapter 14. Discontinuous Galerkin methods for Liouville's equation of geometrical optics.- Chapter 15. Inverse methods for freeform optical design.- Chapter 16. Analysis of a competitive respiratory disease system with quarantine: Investigation of equilibria dynamics.- Chapter 17. Monte Carlo Foliage Generation on 3D Tree Models.- Chapter 18. Analysis of a Langevin Equation for Cell Migration with Chemotaxis.- Chapter 19. Ethiopian-Norwegian Collaboration in Applied Mathematics and Statistics Education.- Chapter 20. Bond trading strategies using machine learning techniques.- Chapter 21. Two-Dimensional Freeform Reflector Design for Minimizing Aberrations.- Chapter 22. Comparing Phase Space Ray Tracing and Generalized Concatenated Backward Ray Mapping on the Compound Parabolic Concentrator.- Chapter 23. Operator splitting for semi-explicit differential-algebraic equations and port-Hamiltonian DAEs.- Chapter 24. Computing Multiple Local Minimizers for the Topology Optimization of Bipolar Plates in Electrolysis Cells.- Chapter 25. Industrial melt spinning with two-way coupled airflow including viscoelasticity, crystallization and radial effects.- Chapter 26. German Epidemic Microsimulation System.- Chapter 27. Operator splitting for port-Hamiltonian systems.- Chapter 28. The Derivative free trust-region method for the inverse elastography problem.- Chapter 29. Metamodels for Sizing Optimization of Hydrogen-Based Hybrid Energy Storage Systems.- Chapter 30. Empirically driven spline bases for functional principal component analysis in 2D.- Chapter 31. Coupled Delayed Action Oscillator Model of the El Niño Southern Oscillation.- Chapter 32. Generalized Newtonian Material Models in Fiber Spinning Simulations.- Chapter 33. Decoupling and Linearization of a Liquid Crystal Model fulfilling a Unit Norm Constraint.- Chapter 34. Anisotropic Diffusion Stencils: From Simple Derivations over Stability Estimates to ResNet Implementations.- Chapter 35. On implicit interpolation models for nonlinear anisotropic magnetic material behavior.- Chapter 36. Engineering, big data and the future.- Chapter 37. World of swaptions - pricing, calibration, volatility.- Chapter 38. A mathematical model for contaminant adsorption in packed columns using nonlinear mass transfer.- Chapter 39. Deep finite difference method for solving Asian option pricing problems.- Chapter 40. Mathematical model for fluoride-removal filters.- Chapter 41. Modelling hydrogen storage in metal hydrides.- Chapter 42. Pricing of a two-peril zero-coupon catastrophe bond.- Chapter 43. Extended processed methods for the numerical solution of inhomogeneous ODE systems.- Chapter 44. Road Profile Identification via Iterative Learning Control.- Chapter 45. GENEOnet: a new machine learning paradigm for protein pocket detection based on Group Equivariant Non-Expansive Operators.- Chapter 46. A Lookup-Based Heuristic for Nonuniform Packing Problems.- Chapter 47. Structure-Preserving Time Discretization of Port-Hamiltonian Systems via Discrete Gradient Pairs.- Chapter 48. An efficient H -based finite element method for nonlinear magnetostatics and quasistatics.- Chapter 49. Adaptive segmented regression for the modeling of temperature-dependent material properties.